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Artificial neural network modeling of jatropha oil fueled diesel engine for emission predictions
2009
Thermal Science
This pa per deals with ar ti fi cial neu ral net work mod el ing of die sel en gine fu eled with jatropha oil to pre dict the un burned hy dro car bons, smoke, and NO x emis sions. The ex per i men tal data from the lit er a ture have been used as the data base for the pro posed neu ral net work model de vel op ment. For train ing the net works, the in jection tim ing, in jec tor open ing pres sure, plunger di am e ter, and en gine load are used as the in put layer. The out puts are hy dro car
doi:10.2298/tsci0903091g
fatcat:joc6v77wkbg3rggmcxnvkjkq3m